“Go”

Develop AI-powered applications using Genkit in Go.

根据用户的功能需求，完成与 VeADK-Go 相关的功能; 包括：直接根据需求生成 Agent；将Enio Agent转换为VeADK-Go Agent。

Open or share a deployed Heroku app.

Use this when scaffolding a new Terraform provider with the Plugin Framework: workspace layout, go module setup, provider server main.go, and a provider.go…

Bright Data's Web MCP server enabling AI agents to search, extract & navigate the web

Use when building email features, emails going to spam, high bounce rates, setting up SPF/DKIM/DMARC authentication, implementing email capture, ensuring…

Write, configure, and deploy Netlify serverless functions in TypeScript, JavaScript, or Go.

Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and…

Push records from apps, services, devices, or scripts directly into Unity Catalog Delta tables with Zerobus Ingest: SDKs (Python, TypeScript, Go, Java, Rust…

Go back through the previous year of work and create a Notion doc that groups relevant links into projects that can then be documented as SRED projects.

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero…

AI agent management: choose what to build, direct every agent from one plan, and learn as you go.

Client editing for sites you built: register, scan, publish, go live, invite the client.

Scan a project to identify Kafka applications, extract schemas from data models, tag PII fields, generate Terraform for Confluent Schema Registry…

Catch conversations going quiet — watch outcomes and search Gmail, Slack, and meetings.

Generate complete, runnable Volcengine SDK code and provide SDK configuration guidance.

Security audits for WordPress plugins and themes — 62 verification layers, fix plans and SBOMs.

Lints, tests, simulates, and formats Fastly VCL code using the falco tool.

Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform.

Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets.

Orchestrates comprehensive production readiness reviews and assessments for GKE clusters and workloads across scalability, security, reliability…

Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate…

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable.

Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech.